Vanessa Lisbeth Quintero Cedeño #DPOF2015919

Vanessa Lisbeth Quintero Cedeño

Vanessa Lisbeth Quintero Cedeño #DPOF2015919

Protocolos MAC, Estimación y Pronóstico SOC y SOH
Sede:
Panamá Oeste
Unidad / Facultad:
FAC. DE ING. ELÉCTRICA
Grado Académico:
Doctor (a)
Área de Investigación
Tecnologías de la Información y Comunicaciones
Áreas de Interes
SNI:
Investigador Nacional 1 2022 - 2025
Email:
vanessa.quintero1@utp.ac.pa

Publicaciones en Google Scholar

Publicación Citas Año
Electric Bicycle Energy Management Given an Elevation Traveling Profile 1 2017
Time-of-Failure Probability Mass Function Computation Using the First-Passage-Time Method Applied to Particle Filter-based Prognostics 0 2020
Particle-filtering-based prognostics for the state of maximum power available in lithium-ion batteries at electromobility applications 0 2020
Spatio-temporal probabilistic modeling based on Gaussian mixture models and neural gas theory for prediction of criminal activity 0 2017
Lithium-ion battery end-of-discharge time estimation and prognosis based on Bayesian algorithms and outer feedback correction loops: A comparative analysis 23 2015
Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach 20 2018
Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges 17 2017
Characterization of the degradation process of lithium-ion batteries when discharged at different current rates 15 2018
SoC control for improved battery life and throughput performance under VST-TDMA 10 2016
Lithium-ion battery pack arrays for lifespan enhancement 8 2017
State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes 8 2017
Particle-Filtering-Based State-of-Health Estimation and End-of-Life Prognosis for Lithium-Ion Batteries at Operation Temperature 6 2016
State-of-charge estimation to improve decision making by MAC protocols used in WSNs 5 2018
Characterizing the Degradation Process of Lithium-ion Batteries Using a Similarity-Based-Modeling Approach 4 2018
Particle-filtering-based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications 3 2020

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